Rig Security Emerges From Stealth With $12M to Tackle Agentic AI Identity Risks

A New Era of Identity Risk Erupts as Autonomous AI Agents Gain Widespread Access

Rig Security, a Tel Aviv-based startup, has emerged from stealth with $12 million in seed funding and an identity protection platform designed specifically for the agentic era. Founded by Guy Kozliner, a former member of the CTO team at Wiz, Rig aims to address a critical gap in security tooling: distinguishing between legitimate human activity and rogue AI agents that act under the guise of their creators.

In today’s landscape, autonomous AI agents are increasingly adopted by organizations across industries. These agents can assume identities, adopt permissions, and act with machine speed, making it difficult for traditional security measures to keep pace. As a result, the standard approach of blocking unrecognized dangerous acts is no longer effective. The remedy – disabling the account – also poses risks, as it blocks legitimate users alongside rogue agents.

The arrival of autonomous AI agents has created a new and treacherous gap in security, exacerbating an already dominant breach vector: identity. Rig Security’s platform seeks to close this gap by understanding whether an action is the result of a permissioned user or a malicious agent using their identity. According to Kozliner, “Today, the most active identities in an enterprise are AI agents, and they’re acting under human names. Security teams can see that an account did something dangerous, but they cannot see whether it was done by a person or an agent.”

Rig’s solution comprises two primary components: RICE (Rig identity correlation engine) and Bifrost (its endpoint sensor). Using machine learning and mathematical-modeling methods, RICE resolves identities across various providers, cloud infrastructure, on-premises systems, network edges, and endpoints with a claimed accuracy of over 96%. This creates an identity dependencies graph that maps how identities are connected through accounts, permissions, sessions, and trust relationships – highlighting potential vulnerabilities.

Bifrost is a lightweight sensor that watches identity behavior at its origin, distinguishing between AI agent sessions and legitimate user activity. It enforces policy by blocking rogue or misused agents’ actions without disrupting the person whose identity they borrowed.

Together, RICE and Bifrost enable Rig’s platform to provide identity security posture management (ISPM) and identity threat detection across both human and non-human identities. Additional features include AI discovery and attribution, runtime policy enforcement, and non-human identity security.

Already in production with Fortune 200 organizations across finance, insurance, healthcare, and technology, the Rig platform addresses a critical need for enterprises to adopt AI without sacrificing control over its associated identities. The $12 million seed funding will be used to further develop the platform’s detection and enforcement capabilities, expand the U.S. go-to-market team, and invest in partnerships and channels.

As organizations continue to integrate AI into their operations, Rig Security’s innovative approach offers a vital solution for mitigating identity-related risks associated with autonomous agents. With its mission to let enterprises adopt AI without losing control of the identities it runs on, Rig is poised to make a significant impact in the rapidly evolving landscape of cybersecurity.


Source: SecurityWeek — 2026-09-29